• DocumentCode
    249428
  • Title

    Long scene panorama generation for indoor environment

  • Author

    Jie Hu ; Dong-Qing Zhang ; Yu, Haoyong ; Chang Wen Chen

  • Author_Institution
    SUNY - Univ. at Buffalo, Buffalo, NY, USA
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    4632
  • Lastpage
    4636
  • Abstract
    Long scene panorama (LSP) can provide the immersive experience for an extended view in one single photograph. The state-of-the-art image mosaicing based LSP techniques are significantly constrained by their high computational complexity, limiting their applications to platforms with rich computing resource. Slit-scanning based schemes, although implementation friendly, heavily rely on the consistency of the camera´s speed and suffer from pushbroom distortion. In this paper, we propose a novel scheme which can generate the LSP for the indoor environment via consumer-grade cameras. A novel adaptive resampling scheme is introduced to generate more natural looking panoramas from videos captured by cameras with non-constant moving speed. A multiple slits replacement scheme is also developed to reduce the zigzag distortion and to handle the depth change. Experimental results show that the proposed scheme can achieve satisfactory performance with handheld cameras.
  • Keywords
    cameras; computational complexity; image sampling; image segmentation; indoor environment; LSP technique; adaptive resampling scheme; computational complexity; consumer-grade handheld camera; image mosaicing; indoor environment; long scene panorama generation; multiple slit replacement scheme; pushbroom distortion; single photography; slit-scanning based scheme; zigzag distortion reduction; Cameras; Equations; Image segmentation; Indoor environments; Mathematical model; Videos; Visualization; Adaptive resampling; Indoor environment; Long scene panorama; Multiple slits replacement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025939
  • Filename
    7025939